The Massive Open Online Course (MOOC) phenomenon has been growing in popularity and importance in the last decade, receiving valuable recognition from renowned universities from all over the world. MOOC can be simply defined as …

A new research conducted by Irina Ioniță and Liviu Ioniță, has been indexed in BRAIN journal, featuring a innovative Prediction of Thyroid Disease using Data Mining Techniques. As of late, thyroid ailments are increasingly spread …

BRAND journal provides a very interesting article written by Tiberiu Socaciu from Stefan cel Mare University of Suceava, Faculty of Economics. This article displays a definitive in determining an estimating system’s multi-Heston. Fundamentally, he utilizes the …

The most recent volume of the BRAIN journal has recorded another exploration on The Ambivalence of Strengths and Weaknesses of E-learning Educational Services proposed by Venera-Mihaela Cojocariu, Iuliana Lazar and Gabriel Lazar from Vasile Alecsandri …

A new research conducted by Georgeta Pânişoară, Ion-Ovidiu Pânişoară, Cristina Sandu, and Ruxandra Chirca (Neacsu) whose the main goal is to pinpoint the links between skills thought in school and those which grant self-fulfilment, is …

Speech recognition applications enable the recognition and translation of spoken languages into text by computers. Due to the fact that the traditional approaches are costly and time consuming, the worldwide industry adopted speech recognition systems. …

BRAIN journal exhibits a creative study on the Participative Teaching, utilizing strategies like Mobile Devices and Social Network for K-12 Children. Livia Stefan and Dragos Gheorghiu from Bucharest, Romania have inquired about the participatory pedagogical investigate, …

Ján Mojžiš and Michal Laclavík present an interesting topic in the academic article Browsing Semantic Data in Slovakia in the latest volume of BRAIN journal. Semantic data browsing is an important task for open and governmental data in …

In the latest volume of the BRAND magazine, Shabri Abd. Majid, Hasan Basri, Eka Nopita, and Heru Fahlevi bring into light cultural and sociological aspects which are influencing the performance of internal auditors in Aceh, …

In the field of computer vision and pattern recognition, face orientation recognition stands as a significant topic. In the paper A Robust Approach of Facial Orientation Recognition from Facial Features, the authors Stefan Andrei, Kishor Datta Gupta, Md Manjurul Ahsan and Kazi Md. Rokibul Alam introduce us to an image mapping technique for face analysis.

The methodology of the study consists of two main phases: Face Feature Extraction and creating the graph image, and Matching Graph image with stored images. The Face Feature Extraction presents four steps that include Face Detection, Feature Extraction, Obtaining Feature Data and Creating image with these data.

The first step in facial feature detection is detecting the face. This requires analyzing the entire image. The second step is using the isolated face(s) to detect each feature. The technique of this study relies on the four main features of the face: left eye, right eye, nose, and mouth. It is mandatory to obtain the positions, size, height, width, and angle of these features respective to each face. By acquiring the data from the features, a new picture including the model and shape of the face is created.

Related Posts

In neurology and neuroscience research, Steady-State Visually Evoked Potential (SSVEP) are brain signals which occur in response to visual stimulation. The paper Novel Detection Features for SSVEP Based BCI: Coefficient of Variation and Variation Speed - written by Abdullah Talha Sözer and Can Bülent Fidan - aims to introduce novel detection features for the SSVEP based brain computer interfaces. Brain-computer interface (BCI) is a collaboration between a brain and a device that enables signals from the brain to direct some external activity, such as control of a cursor or a prosthetic limb. The interface enables direct communication between the brain and the object…

The article written by Sarunya Kanjanawattana and Masaomi Kimura is a study about Optical Character Recognition (OCR), which represents a a typical tool used to transform image-based characters to computer editable characters. The two illustrate a novel method which is a combination of a graph componenet extraction and an OCR-error correction. In the last years, graphs became very important to researches, as they contain significant information which can be extracted and used. Graphs offer data summarization which presents essential information that is interpreted by acquiring small descriptive details. In order to succeed in obtaining a primary interpretation, OCR was created,…

Technology has become more than a phenomenon used for innovation, it is now a science put in the service of making human life easier. If in the past, taking a picture of yourself required a voluminous camera with an obscure chamber, nowadays we have our cameras to ourselves for they are incorporated in our gadgets. Therefore, we take pictures of everything we see – recording reality is just one swipe away and ready in the blink of an eye. However, sometimes is difficult to skim through thousands of photos in order to find a specific one. Nabil M. Hewahi and…

\ Academia EduSoft Academia EduSoft is a brand name. It represents the unification of the academic branches of Asociatia EduSoft (NGO) and EduSoft Limited company. You can see information about the two entities at the bottom of this page. Starting with 2010, we edit and publish 3 academic journals for scholars around the world. These journals are indexed by various international indexing services, like Web of Science (Clarivate Analytics / Thomson-Reuters). EBSCO, DOAJ, Google Scholar, CiteSeerX etc. Our journals are interdisciplinary and they cover three main domains of science: BRAIN: Broad Research in Artificial Intelligence and Neuroscience, ISSN: 2067-3957, E-ISSN: (1-4 issues…